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README.md

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 # Epigenomic Classifer - Assay
 
-Epigenome Assay/Target classifier trained on the [EpiATLAS dataset](https://ihec-epigenomes.org/epiatlas/data/). The classes are IHEC reference epigenome ChIP assays (7 assays: H3k27ac, H3k27me3, H3k36me3, H3k4me1, H3k4me3, H3k9me3, input)
+Epigenome Assay/Target classifier trained on the [EpiATLAS dataset](https://ihec-epigenomes.org/epiatlas/data/). The classes correspond to the minimal elements of the [IHEC reference epigenome](https://ihec-epigenomes.org/research/reference-epigenome-standards/index.html):
+- Seven (7) ChIP: assays H3k27ac, H3k27me3, H3k36me3, H3k4me1, H3k4me3, H3k9me3, input
+- RNA-Seq (two protocols, mrna/total)
+- WGBS (two protocols, pbat/standard)
 
 The model is a simple fense feedforward neural network, with one hidden layer of 3000 nodes.The model was trained using PyTorch Lightning. See Github repository [rabyj/epi_ml](https://github.com/rabyj/epi_ml/blob/master/src/python/epi_ml/core/model_pytorch.py) for model code.